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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 4, ISSUE 8, AUGUST 2015

Review: ROI Based Medical Image Compression using DCT and HAAR Wavelet

Sarvarinder Singh, Er. Sarabjit Singh

DOI: 10.17148/IJARCCE.2015.48101

Abstract: Image compression addresses the problem of reducing the amount of data required to represent a digital image. There are some areas of medicine where it is sufficient to maintain high image quality only for diagnostically significant regions, for example, tumor section of the brain MRI. This paper represents a compression method based on ROI and its performance analysis focusing on Discrete Cosine Transform technique. It is used for reducing the redundancy that is nothing but avoiding the replica data. The DCT is a mathematical function that transforms digital image data from the spatial domain to the frequency domain.



Keywords: Images, lossy compression, Medical image compression, Region of Interest, Discrete Cosine Transform.

How to Cite:

[1] Sarvarinder Singh, Er. Sarabjit Singh, “Review: ROI Based Medical Image Compression using DCT and HAAR Wavelet,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.48101